DBAX 8006 Week 7 Scheduling Consequence Analysis Example

Who Pays for Short-Notice Retail Shifts? A Consequence Analysis Assigning Each Cost and Saving of Just-in-Time Scheduling to a Party and Marking Every Entry as Measured, Estimated or Merely Claimed

Student Name

Walden University

DBAX 8006: Contemporary Challenges in Business

Instructor Name

Month Day, Year

Who Pays for Short-Notice Retail Shifts? A Consequence Analysis Assigning Each Cost and Saving of Just-in-Time Scheduling to a Party and Marking Every Entry as Measured, Estimated or Merely Claimed

The Practice

Many large retailers schedule hourly associates on short notice: shifts are posted a few days ahead, changed or canceled at the last minute, and assigned to match forecast customer traffic. The practice is defended as efficient, since labor hours follow demand, and criticized as harmful to workers. Coverage usually reports one side of the ledger. This analysis builds the whole ledger, party by party, and marks each entry by the strength of its evidence: measured, where a peer-reviewed study estimated it; estimated, where it can be reasonably inferred; or claimed, where it rests on assertion.

The Ledger

Table 1

Costs and Savings of Short-Notice Scheduling by Party

Evidence strength reflects the peer-reviewed studies discussed below.

What Is Measured

Two entries rest on strong measurement. On workers, Schneider and Harknett (2019) surveyed tens of thousands of hourly retail and food-service workers and found that unstable and unpredictable schedules, including last-minute changes and on-call shifts, went along with more psychological distress, poorer sleep and less happiness, with associations were larger than those for wage levels. Henly and Lambert (2014) found that unpredictable work timing was linked to work-life conflict among retail employees.

On the firm, Kesavan et al. (2022) ran a field experiment at Gap stores, where stores assigned to the treatment adopted more stable scheduling practices, including more consistent shifts and greater advance notice. Sales and output per labor hour rose in the stores that stabilized schedules, relative to the comparison stores. That result contradicts the claim that short-notice scheduling saves the firm money overall.

What Is Estimated or Claimed

The flexibility managers gain is claimed rather than measured; it is plausible but unquantified. The labor-cost savings are the central justification for the practice but are partly contradicted by the Gap experiment, which suggests savings on hours may be offset by lost sales and productivity. Effects on customers are estimated from the general relationship between staffing and service. Costs to public programs are claimed in policy debates but have not been measured directly in the studies reviewed.

How the Experiment Changes the Ledger

The Gap experiment matters because it tests the firm's side of the ledger directly. Stable scheduling in the treatment stores included practices such as giving associates more consistent shifts from week to week, posting schedules further in advance and letting associates swap shifts through an app. If short-notice scheduling were saving the firm money overall, the treatment stores should have done worse. They did better on sales and productivity, which suggests that the hidden costs of instability, such as absences, turnover and less experienced staff on the floor, outweighed the savings from matching hours closely to forecasts. One experiment does not settle the question for every retailer, but it shifts the burden of proof: a firm defending short-notice scheduling on cost grounds now needs its own evidence.

Who Absorbs What

Reading the ledger as a whole, the costs that are measured fall mainly on hourly associates, through income volatility and health. The savings the practice is meant to deliver to the firm are claimed and, in the best available experiment, did not appear; stable scheduling raised sales. The parties who bear the most certain costs are those with the least say in the practice.

Limits

The Gap experiment covered one retailer, and the effect of stable scheduling may differ in stores with more volatile traffic. The worker studies are observational, so some of the association between schedule instability and distress may reflect differences among workers. The ledger is strongest where it rests on these two kinds of evidence and weakest where it relies on claims. A fuller analysis would measure managers' time spent rebuilding schedules and the public cost of income volatility, the two entries most often asserted in debate and least often studied.

References

Henly, J. R., & Lambert, S. J. (2014). Unpredictable work timing in retail jobs: Implications for employee work-life conflict. ILR Review, 67(3), 986-1016. https://doi.org/10.1177/0019793914537458

Kesavan, S., Lambert, S. J., Williams, J. C., & Pendem, P. K. (2022). Doing well by doing good: Improving retail store performance with responsible scheduling practices at the Gap, Inc. Management Science, 68(11), 7818-7836. https://doi.org/10.1287/mnsc.2021.4291

Schneider, D., & Harknett, K. (2019). Consequences of routine work-schedule instability for worker health and well-being. American Sociological Review, 84(1), 82-114. https://doi.org/10.1177/0003122418823184